Merge remote-tracking branch 'origin/main'

.github/workflows/release.yml

@@ -226,7 +226,7 @@ jobs:
       - name: Install dependencies
         run: poetry install --only test --no-root --no-cache
       - name: Run pytest
-        run: ZEEBE_TEST_IMAGE_TAG=8.4.0 CONNECTOR_IMAGE=${{ needs.build-push-inference.outputs.image }}-amd64 INFERENCE_IMAGE=holisticon/bpm-ai-inference:latest-cpu OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }} poetry run pytest
+        run: ZEEBE_TEST_IMAGE_TAG=8.4.0 CONNECTOR_IMAGE=${{ needs.build-push.outputs.image }}-amd64 INFERENCE_IMAGE=holisticon/bpm-ai-inference:latest-cpu OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }} poetry run pytest
 
   create-push-manifest:
     runs-on: ubuntu-latest

README.md

@@ -20,18 +20,19 @@ local OCR with tesseract and local audio transcription with Whisper. All running
   <img src="assets/screenshots/example.png" width="100%" alt="Example usage">
 </figure>
 
-### 🆕 What's New in 1.0 
+### 🆕 What's New
+* Anthropic Claude 3 model options
 * Option to use small **AI models running 100% locally on the CPU** - no API key or GPU needed!
   * Curated models known to work well, just select from dropdown
   * Or use any compatible model from [HuggingFace Hub](https://huggingface.co/models)
 * Multimodal input:
   * **Audio** (voice messages, call recordings, ...) using local or API-based transcription
   * **Images / Documents** (document scans, PDFs, ...) using local or API-based OCR or multimodal AI models
-* Ultra slim docker image (**60mb** without local AI)
+* Use files from Amazon S3 or Azure Blob Storage
 * Logging & Tracing support with [Langfuse](https://langfuse.com)
 
 ### 🔜 Upcoming
-* higher quality local and API-based OCR
+* higher quality local OCR
 * support for local, open-access LLMs
 
 ---
@@ -101,25 +102,23 @@ mkdir ./data
 and launch the connector runtime with a local zeebe cluster:
 
 ```bash 
-docker compose --profile default --profile platform up -d
+docker compose --profile platform up -d
 ```
 
 For Camunda Cloud, remove the platform profile.
 
-To use the larger **inference** image that includes dependencies to run local AI model inference for decide, extract and translate, use the inference profile instead of default: 
+To use the **inference** extension container that includes local AI model inference implementations for decide, extract and translate, as well as local OCR, additionally use the inference profile: 
 
 ```bash 
 docker compose --profile inference --profile platform up -d
 ```
 
-#### Available Image Tags
+#### Available Images
 
 Two types of Docker images are available on [DockerHub](https://hub.docker.com/r/holisticon/bpm-ai-connectors-camunda-8):
-* The lightweight (**~60mb** compressed) default image suitable for users only needing the OpenAI API (and other future API-based services)
-  * Use `latest` tag (multiarch)
-* The more heavy-weight (~500mb) inference image that contains all dependencies to run transformer AI models (and more) **locally on the CPU**, 
-allowing you to use the `decide`, `extract` and `translate` connectors 100% locally without any API key needed
-  * Use `latest-inference` tag (multiarch)
+* The main image suitable for users only needing the Anthropic/OpenAI and Azure/Amazon APIs (and other future API-based services)
+* An optional inference image that contains all dependencies to run transformer AI models (and more) **locally on the CPU**, 
+allowing you to use the `decide`, `extract` and `translate` connectors 100% locally and perform OCR without any API key needed
 
 ## 📚 Connector Documentation
 

docker-compose.yml

@@ -1,18 +1,18 @@
 services:
 
   #####################################################################################################################
-  # Default AI Connectors - enabled by profile `--profile default`                                                   #
+  # AI Connectors                                              #
   #####################################################################################################################
 
   connectors:
-    profiles: [default]
     container_name: bpm-ai-connectors-camunda-8
     image: holisticon/bpm-ai-connectors-camunda-8:latest
     build:
       dockerfile: Dockerfile
     depends_on:
       bpm-ai-inference:
         condition: service_started
+        required: false
       zeebe:
         condition: service_healthy
         required: false

wizard.sh

@@ -78,8 +78,6 @@ inference=${inference:-n}
 
 if [ "$inference" = "y" ]; then
   profile_flags="$profile_flags --profile inference"
-else
-  profile_flags="$profile_flags --profile default"
 fi
 
 ##############################################################################################################################
@@ -215,4 +213,4 @@ done
 # Start docker compose with selected profile(s)
 ##############################################################################################################################
 
-eval "docker compose$profile_flags up -d"
+eval "docker compose$profile_flags up -d"